Recently, the computational requirements for large-scale data-intensive analysis of scientific
data have grown significantly. In High Energy Physics (HEP) for example, the Large Hadron …

Cloud computing—accessing computing resources over the Internet—is rapidly changing
the landscape of information technology. Its primary benefits compared to on-premise …

The Open Science Data Cloud is a distributed cloud based infrastructure for managing,
analyzing, archiving and sharing scientific datasets. We introduce the Open Science Data …

Data-intensive systems encompass terabytes to petabytes of data. Such systems require
massive storage and intensive computational power in order to execute complex queries …

In the era of Big Data, huge amounts of structured and unstructured data are being produced
daily by a myriad of ubiquitous sources. Big Data is difficult to work with and requires …

Nearly two decades of research in the area of Inductive Logic Programming (ILP) have seen
steady progress in clarifying its theoretical foundations and regular demonstrations of its …

Grid computing raises challenging issues in many areas of computer science,
bioinformatics, high energy physics and especially in the area of distributed computing, as …

Big Data refers to the massive amounts of structured and unstructured data being produced
every day from a wide range of sources. Big Data is difficult to work with and needs a large …

Many applications, eg, scientific computing, weather prediction, medical image processing,
require the manipulation of large amounts of data. Analysis of web traffic, sales, travel, and …

Distributed systems and their specific incarnations have evolved significantly over the years.
Most often, these evolutionary steps have been a consequence of external technology …